Gen AI Architect

Vitosha Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Code Review
Continuous Integration
Memory Management
Amazon DynamoDB
Identity and Access Management
Python
Software Engineering
TypeScript
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
State Machines
Generative AI
FastAPI
AI Platforms
Kubernetes
Virtual Agents
Cloudwatch
Api Gateway
REST
Docker
Microservices

Job description

We are seeking an experienced Gen AI Architect to lead the design, development, and delivery of a next-generation enterprise AI platform. The ideal candidate is a hands-on architect with deep expertise in Generative Artificial Intelligence (AI), Large Language Models (LLMs), AWS cloud technologies, and modern AI orchestration frameworks. This role requires strong technical leadership to architect scalable AI solutions while mentoring and leading a team of developers., * Architect and build an enterprise-grade Generative AI and Agentic AI platform from the ground up.

  • Lead the design and development of AI agents and multi-agent systems using modern Agentic AI frameworks.
  • Define platform architecture, reusable components, security, governance, observability, and deployment standards.
  • Lead and mentor a team of AI engineers and developers through architecture, design, code reviews, and delivery.
  • Collaborate with business and technical stakeholders to translate requirements into scalable AI solutions.
  • Evaluate and integrate emerging AI technologies and frameworks.

Requirements

  • 15+ years of software engineering experience with 3+ years in Generative AI/Agentic AI.
  • Hands-on experience designing and developing Agentic AI solutions using:
  • LangGraph/LangChain
  • Strands Agents
  • Model Context Protocol (MCP)
  • Agent-to-Agent (A2A)
  • Loop Engineering
  • AI workflow orchestration and multi-agent architectures
  • Strong experience building LLM applications, including Prompt Engineering, RAG, Function Calling, Tool Calling, Memory Management, and AI Guardrails.
  • Hands-on AWS experience, including Amazon Bedrock, EKS/ECS, Lambda, API Gateway, Step Functions, S3, DynamoDB/Aurora, IAM, and CloudWatch.
  • Strong Python development skills; experience with FastAPI and REST APIs. React/TypeScript knowledge is a plus.
  • Experience with vector databases, microservices, Docker, Kubernetes, and CI/CD.
  • Good understanding of Generative UI (GenUI) concepts and AI-driven user experiences., * Experience building enterprise AI platforms from concept to production.
  • Healthcare experience, especially handling payer data, is preferred.
  • Knowledge of Responsible AI, AI governance, security, and observability.
  • AWS Solution Architect or AI/ML certifications preferred.
  • Excellent communication, stakeholder management, and technical leadership skills.

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